Real-time hand gesture recognition based on deep learning YOLOv3 model
Using gestures can help people with certain disabilities in communicating with other people.
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …
Audio-visual speech and gesture recognition by sensors of mobile devices
Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …
speech recognition, particularly when audio is corrupted by noise. Additional visual …
Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps
GZ De Castro, RR Guerra, FG Guimaraes - Expert Systems with …, 2023 - Elsevier
Sign languages play an essential role in the cognitive and social development of the deaf,
consisting of a natural form of communication and being a symbol of identity and culture …
consisting of a natural form of communication and being a symbol of identity and culture …
Recent advances of deep learning for sign language recognition
To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …
communication tools is expected. With the growing research interest in action and gesture …
Sign language: a systematic review on classification and recognition
Sign language serves as an alternative communication mode for those with limitations in
hearing and speaking abilities. In India, an estimated population of around 2.7 million …
hearing and speaking abilities. In India, an estimated population of around 2.7 million …
Helping hearing-impaired in emergency situations: A deep learning-based approach
Hearing-impaired people use sign language to express their thoughts and emotions and
reinforce information delivered in daily conversations. Though they make a significant …
reinforce information delivered in daily conversations. Though they make a significant …
[PDF][PDF] A Novel Machine Learning-Based Hand Gesture Recognition Using HCI on IoT Assisted Cloud Platform.
S Adhikari, TK Gangopadhayay, S Pal… - … Systems Science & …, 2023 - cdn.techscience.cn
Machine learning is a technique for analyzing data that aids the construction of
mathematical models. Because of the growth of the Internet of Things (IoT) and wearable …
mathematical models. Because of the growth of the Internet of Things (IoT) and wearable …
Authorized traffic controller hand gesture recognition for situation-aware autonomous driving
An authorized traffic controller (ATC) has the highest priority for direct road traffic. In some
irregular situations, the ATC supersedes other traffic control. Human drivers indigenously …
irregular situations, the ATC supersedes other traffic control. Human drivers indigenously …
Hand gesture recognition with symmetric pattern under diverse illuminated conditions using artificial neural network
This paper investigated the effects of variant lighting conditions on the recognition process.
A framework is proposed to improve the performance of gesture recognition under variant …
A framework is proposed to improve the performance of gesture recognition under variant …
Enhancing Brazilian Sign Language Recognition through Skeleton Image Representation
CEGR Alves, FDA Boldt… - 2024 37th SIBGRAPI …, 2024 - ieeexplore.ieee.org
Effective communication is paramount for the inclusion of deaf individuals in society.
However, persistent communication barriers due to limited Sign Language (SL) knowledge …
However, persistent communication barriers due to limited Sign Language (SL) knowledge …